Full-Time
Industry Lead Solutions Architect
Financial Services
Updated on 8/12/2026
Databricks
10,001+ employees
Data lakehouse platform for analytics
Compensation Overview
$264k - $363k/yr
Washington, DC, USA + 5 more
More locations: Georgia, USA | New York, NY, USA | Massachusetts, USA | North Carolina, USA | Illinois, USA
In Person
Bachelor's
 Sales & Solution Engineering (1) |
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- At least 15 years of experience in a customer-facing pre-sales or consulting role.
- Deep experience with big data technologies including Spark, Delta Lake, and MLflow.
- Experience with at least one cloud platform: AWS, Azure, or Google Cloud Platform.
- Strong understanding of Financial Services sub-industry dynamics across one or more of Capital Markets, Banking and Payments, Insurance, Asset and Wealth Management, Alternative Investments, FinTech, or Financial Data Providers.
- Ability to engage credibly with senior business and technology leaders, including Heads of Markets Technology, Chief Data Officers, and Heads of Quantitative Research.
- Experience developing and executing industry-specific go-to-market strategies, outcome-focused content, points of view, and technical assets for business and technical audiences.
- Strong communication skills and a track record of mentoring technical teams and enabling partner ecosystems.
- Excellent communication and storytelling skills, with the ability to connect platform capabilities to measurable business outcomes.
- An undergraduate degree or higher in an engineering or mathematics discipline, such as Computer Science or Applied Mathematics.
- Define and execute the Databricks industry strategy by creating and curating sub-industry-specific points of view, demos, reference architectures, customer references, evaluation templates, and implementation plans.
- Create standardized frameworks for asset quality and prioritization, including build-versus-partner decisions.
- Drive joint go-to-market strategy with global system integrators, regional system integrators, and data partners by co-building assets, aligning partner solutions to sub-vertical points of view, and identifying partners for specific use cases and implementations.
- Engage directly with strategic Financial Services customers and their technical and business leadership to advise on domain-specific challenges.
- Aggregate shared customer pain points to refine messaging and asset-creation strategy.
- Guide customers through the full use-case lifecycle, from establishing credibility and setting vision through evaluations, implementation, and value realization.
- Develop and use golden proof-of-concept templates, reference architectures, recommended implementation partners, sample statements of work, and value-realization templates.
- Act as the field enablement lead by training Solutions Architects and partners globally on leveraging Databricks assets to accelerate customer success.
- Experience working with global system integrators, consulting organizations, Financial Services technology companies, or Financial Services data providers.
Databricks provides a unified data and AI platform built around a lakehouse architecture that blends data lakes and data warehouses. It helps organizations ingest, store, manage, and analyze data from various sources, then apply analytics and machine learning at scale. The platform offers automated ETL, secure data sharing, and high-performance analytics, with built-in support for AI workloads and model deployment. Unlike traditional single-purpose data stores, Databricks combines data engineering, data science, and business analytics in one system, aiming to streamline data workflows and make insights readily actionable. Its goal is to enable businesses to manage data more efficiently, accelerate insight generation, and deploy AI and analytics across diverse teams through a subscription-based platform and professional services.
Company Size
10,001+
Company Stage
Late Stage VC
Total Funding
$30.1B
Headquarters
San Francisco, California
Founded
2013
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Simplify's Take
What believers are saying
- Coatue's July 2026 round reportedly valued Databricks at $188 billion.
- Databricks said Lakebase handles 12 million launches daily and powers thousands of customers.
- Asia Pacific hiring accelerated in 2026, with Singapore headquarters plans and 85% growth.
What critics are saying
- Judge Breyer let the authors' copyright class action continue on April 23, 2026.
- Poulin Holdings sued on March 11, 2026, targeting Feature Store, MLflow, Unity Catalog, Marketplace.
- Microsoft Fabric and Snowflake compress Databricks' differentiation as LTAP's copy claims face criticism.
What makes Databricks unique
- Databricks pairs Lakehouse, Lakebase, and Unity Catalog into one governed data plane.
- LTAP unifies OLTP, OLAP, and streaming on object storage, unlike legacy stacks.
- Apache Spark heritage and open Delta, Iceberg, and Postgres compatibility reduce switching friction.
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Benefits
Extended health care including dental and vision
Life/AD&D and disability coverage
Equity awards
Flexible Vacation
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance
Paid Parental Leave
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↑ 0%The deal gives developers a way to keep AI agents working locally in sync with central data, cutting latency in sandboxed apps.
Databricks has appointed former Amazon Web Services executive Briscoe to lead its Asia Pacific & Japan partner organisation. She previously headed AWS's partner operations in the region and held similar roles at Microsoft and Cisco. The move supports Databricks' regional expansion. In April, the company named Simon Davies as regional leader and reported over 85% year-on-year growth in its fourth quarter. It now has more than 1,500 employees across Asia Pacific & Japan and plans to establish headquarters in Singapore. Databricks works with over 1,000 partners regionally and 8,000 globally through its Brickbuilder Partner Network. The company's AWS business has surpassed a $1 billion run rate. International Data Corporation forecasts Asia/Pacific AI spending will reach $175 billion by 2028.
Coatue Management is reportedly leading a $3 billion investment in Databricks, according to recent reports. The data analytics company previously raised roughly $5 billion earlier in 2026 at a $134 billion valuation. Databricks sells a lakehouse platform combining data lake and data warehouse capabilities and has expanded into AI software for enterprise applications. The company reported $5.4 billion in revenue run rate in February, up over 65% year on year, which grew to $6.9 billion by June. The earlier financing round included $2 billion in debt capacity intended to fund AI products, acquisitions and employee liquidity. At its current valuation, Databricks exceeds Snowflake's market capitalisation of approximately $83 billion. Management has indicated the company may remain private until market conditions improve.
July 16 (Reuters) - Investment firm Coatue Management is leading a $3 billion investment in data analytics provider Databricks that values the company at $188 billion, the Wall Street Journal reported on Thursday, citing people familiar with the matter....
Qumulo has partnered with Databricks to integrate its NeuralSearch platform with Databricks OpenSharing protocol. The collaboration enables customers to discover, query, and collaborate on data across core, cloud, and edge environments without replicating it. NeuralSearch is Qumulo's storage-native search platform that transforms unstructured data into searchable intelligence using SQL, natural language, and semantic search. The integration allows users to access datasets across on-premises locations, remote sites, and cloud regions without data replication. The partnership addresses challenges for Chief Data Officers managing massive unstructured datasets whilst accelerating AI time-to-value. It supports Generative AI, Retrieval-Augmented Generation applications, and advanced analytics by connecting Databricks compute directly to Qumulo's edge-to-core storage framework. The collaboration provides unified governance through Databricks Unity Catalog and supports open table formats including Apache Iceberg and Delta Lake.